David Li
Impact in
- Developmental Biology top 5%
- Animal Vocal Communication and Behavior
Papers in
-
- Advanced biosensing and bioanalysis techniques 4
- CRISPR and Genetic Engineering 4
- RNA and protein synthesis mechanisms 3
- Genetics 6
- Virus-based gene therapy research 3
- Genetic Associations and Epidemiology 2
- Co-authors
- Jonathan Strecker (3 shared papers)Linyi Gao (2 shared papers)Zachary Gardner (1 shared paper)Joel Sunshine (1 shared paper)Feng Zhang (1 shared paper)Jonathan L. Schmid‐Burgk (1 shared paper)Jordan J. Green (1 shared paper)Kristen Kozielski (1 shared paper)
- Journals
- Science (4 papers)Molecular Cell (2 papers)Progress in Neuro-Psychopharmacology and Biological Psychiatry (2 papers)PLoS ONE (2 papers)Biomacromolecules (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
David Li
24 papers receiving 848 citations
David Li's Hit Papers
Peers
Comparison fields: 5 of 109
- Developmental Biology 58
- Business and International Management 27
- Aging 17
- Molecular Biology 590
- Biological Psychiatry 17
Countries citing papers authored by David Li
This map shows the geographic impact of David Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Li more than expected).
Fields of papers citing papers by David Li
This network shows the impact of papers produced by David Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Li. The network helps show where David Li may publish in the future.
Co-authors
The 25 scholars most cited alongside David Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 145 | |
| 2 | 2008 | 130 | |
| 3 | Sequence modeling and design from molecular to genome scale with Evo Hit paper breakdown → | 2024 | 127 |
| 4 | 2011 | 106 | |
| 5 | 2023 | 83 | |
| 6 | 2011 | 72 | |
| 7 | 2022 | 48 | |
| 8 | 2023 | 21 | |
| 9 | 2024 | 21 | |
| 10 | 2022 | 20 | |
| 11 | 2009 | 17 | |
| 12 | 2007 | 13 | |
| 13 | 2021 | 10 | |
| 14 | 2016 | 10 | |
| 15 | 2017 | 9 | |
| 16 | 2022 | 8 | |
| 17 | AIPL1 implicated in the pathogenesis of two cases of autosomal recessive retinal degeneration. | 2014 | 5 |
| 18 | 2024 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 2 |
About David Li
David Li is a scholar working on Molecular Biology, Genetics, Nutrition and Dietetics, Ophthalmology and Epidemiology, having authored 25 papers that have together received 859 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), CRISPR and Genetic Engineering (4 papers), Virus-based gene therapy research (3 papers), RNA and protein synthesis mechanisms (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Olfactory and Sensory Function Studies (2 papers), Schizophrenia research and treatment (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Developmental Biology (58 citations), Business and International Management (27 citations), Aging (17 citations), Molecular Biology (590 citations) and Biological Psychiatry (17 citations). David Li has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Jonathan Strecker, Linyi Gao, Zachary Gardner, Joel Sunshine, Feng Zhang, Jonathan L. Schmid‐Burgk, Jordan J. Green, Kristen Kozielski, Blake Lash and Alex Rhee. Their work appears in journals such as Science, Molecular Cell, Progress in Neuro-Psychopharmacology and Biological Psychiatry, PLoS ONE and Biomacromolecules.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.